Compare AtScale Adaptive Analytics (A3) vs. Cloudera Distribution for Hadoop

AtScale Adaptive Analytics (A3) is ranked 31st in Business Intelligence (BI) Tools with 1 review while Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 6 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while Cloudera Distribution for Hadoop is rated 8.0. The top reviewer of AtScale Adaptive Analytics (A3) writes "The GUI interface is nice and easy to use, but the organization of the icons is not saved across users". On the other hand, the top reviewer of Cloudera Distribution for Hadoop writes "Open-source solution for intelligent data management and analysis". AtScale Adaptive Analytics (A3) is most compared with JethroData, Datameer and Arcadia Data, whereas Cloudera Distribution for Hadoop is most compared with Amazon EMR, Cassandra and Apache Spark.
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Most Helpful Review
Find out what your peers are saying about Tableau, Microsoft, Qlik and others in Business Intelligence (BI) Tools. Updated: February 2020.
397,717 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The GUI interface is nice and easy to use.

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In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues.Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis.The search function is the most valuable aspect of the solution.We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that.The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized.

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Cons
The product was not able to meet our 10 second refresh requirements.The organization of the icons is not saved across users.There was an issue with the incremental aggregation not working as indicated.

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The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it.The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions.The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better.We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve.I would like to see an improvement in how the solution helps me to handle the whole cluster.

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Ranking
Views
3,080
Comparisons
1,678
Reviews
1
Average Words per Review
166
Avg. Rating
5.0
2nd
out of 24 in Hadoop
Views
6,827
Comparisons
5,070
Reviews
6
Average Words per Review
440
Avg. Rating
8.0
Top Comparisons
Also Known As
AtScale, AtScale Intelligence Platform
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AtScale
Cloudera
Overview

AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven 

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.

Benefits:

No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.

Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.

Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.

No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.

Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.

Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.

Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.

Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

Features:

Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.

Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.

Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.

Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.

Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.



Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
Offer
Learn more about AtScale Adaptive Analytics (A3)
Learn more about Cloudera Distribution for Hadoop
Sample Customers
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Top Industries
No Data Available
REVIEWERS
Financial Services Firm40%
Marketing Services Firm20%
Healthcare Company10%
Software R&D Company10%
VISITORS READING REVIEWS
Software R&D Company29%
Insurance Company11%
Financial Services Firm8%
Comms Service Provider8%
Find out what your peers are saying about Tableau, Microsoft, Qlik and others in Business Intelligence (BI) Tools. Updated: February 2020.
397,717 professionals have used our research since 2012.
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